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I was trying to use this recipe to train an ASR model with the CGN corpus, but I'm getting an empty segments error in the `cgn_data_prep.sh` when I run the `run.sh` script.
I changed the CGN root t…
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## My Environment
* __ArangoDB Version__: 3.7.1
* __Storage Engine__: RocksDb
* __Deployment Mode__: Single Server
* __Deployment Strategy__: Kubernetes, Local Storage o…
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Allowing tokenize documents with character n-grams would be useful.
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So currently using the GPT and some read manuals. Did I correctly setup the code and transformer model? Or are there any suggestions which I could use? I will also try with ngrams up to 3.
Maybe s…
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#### Problem description
What are you trying to achieve?
I am loading a `fasttext` model built with `gensim`, using `gensim.models.fasttext.load_facebook_model` so I can use the model.
Wha…
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The contents of QSTRs can be quite repetitive. Perhaps a dictionary compression scheme would use less memory to store the strings.
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When I try to load cl-nlp on LispWorks 7, I get the following:
```
CL-USER 1 > (ql:quickload :cl-nlp)
To load "cl-nlp":
Load 1 ASDF system:
cl-nlp
; Loading "cl-nlp"
;;; Checking for wi…
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Based on the model_summary results.
Is the model a neural network with one hidden layer with **no activation function** ("embeddings" layer) and one output layer with a softmax activation function…
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#### Problem description
What are you trying to achieve? What is the expected result? What are you seeing instead?
I have been trying to load my own trained FastText vectors into a FastTextKey…
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I am trying to replicate the return value of `starspace_embedding()` function. Here is what I have found so far.
When training a model with ngrams = 1, `starspace_embedding(model, 'word1 word2')` …